Changelog

Important

Complete version release history available here

Version 0.0.15a

Contains all previous fixes relating to:

CatBoost support (early stopping, and support involving resetting estimators).
Pipeline steps now support hyperparameter tuning of the resamplers (SMOTE, ADASYN, etc.).
Removed older implementations of impute and scaling and moved onto supporting only custom pipeline_steps.
Fixed bugs in stratification with regards to length mismatch of dependent variable when using column names to stratify.
Cleaned a removed multiple lines of unused code and unused initialisation parameters.

Version 0.0.014a

In previous versions, the train_val_test_split method allowed for stratification either by y (stratify_y) or by specified columns (stratify_cols), but not both at the same time. There are use cases where stratification by both the target variable (y) and specific columns is necessary to ensure a balanced and representative split across different data segments.

Enhancement

Modified the train_val_test_split method to support simultaneous stratification by both stratify_y and stratify_cols. This was inside the method achieved by implementing the following logic that ensures both y and the specified columns are considered during the stratification process.

stratify_key = pd.concat([X[stratify_cols], y], axis=1)

strat_key_val_test = pd.concat(
   [X_valid_test[stratify_cols], y_valid_test], axis=1
)

Version 0.0.013a

Updated bootstrapper
evaluate_bootstrap_metrics
Added notebooks/xgb_early_bootstrap_test.py to test it
Updated requirements.txt file for dev testing
Fixed sampling error on low number of samples inside bootstrapper

Version 0.0.012a

Xgboost bug fixes
Zenodo updates
Pickle model fixes with np import
ADASYN and SMOTE fix with no fit happening when calibrating

Version 0.0.011a

updated readme for PyPI
previous version not saved on setup; re-release to 0.0.11a

Version 0.0.010a

updated readme for PyPI

Version 0.0.09a

number of estimators now extracted from XGBoost model object
early stopping fixed

Version 0.0.08a

AutoKerasClassifier

Changed layers key to store count instead of list to avoid exceeding MLflow’s 500-char limit.
Simplified function by removing key filtering loop.

Version 0.0.07a

Kfold threshold tuning fix

Version 0.0.06a

Updating best_params: ref before assignment bug

Version 0.0.05a

Bootstrapper: - Fixed import bugs - Fixed Assertion bug to do with metrics not being assigned
Early stopping: - Leon: fixed bug with SelectKBest and ADASYN where the wrong code chunk was being utilized - Arthur: Verbosity fix

Version 0.0.02a

temporarily commented out updated apache software license string in setup.py
updated logo resolution